Topic on Election

Dataset statistics

Number of variables	21
Number of observations	2263
Missing cells	2202
Missing cells (%)	4.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.6 MiB
Average record size in memory	745.7 B

Variable types

Numeric	9
Categorical	12

Alerts

`CONSTITUENCY` has a high cardinality: 539 distinct values	High cardinality
`NAME` has a high cardinality: 2014 distinct values	High cardinality
`PARTY` has a high cardinality: 133 distinct values	High cardinality
`SYMBOL` has a high cardinality: 126 distinct values	High cardinality
`ASSETS` has a high cardinality: 1979 distinct values	High cardinality
`LIABILITIES` has a high cardinality: 1226 distinct values	High cardinality
`WINNER` is highly correlated with `GENERAL VOTES` and 4 other fields	High correlation
`GENERAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`POSTAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`TOTAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`OVER TOTAL ELECTORS IN CONSTITUENCY` is highly correlated with `WINNER` and 4 other fields	High correlation
`OVER TOTAL VOTES POLLED IN CONSTITUENCY` is highly correlated with `WINNER` and 4 other fields	High correlation
`WINNER` is highly correlated with `GENERAL VOTES` and 4 other fields	High correlation
`GENERAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`POSTAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`TOTAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`OVER TOTAL ELECTORS IN CONSTITUENCY` is highly correlated with `WINNER` and 4 other fields	High correlation
`OVER TOTAL VOTES POLLED IN CONSTITUENCY` is highly correlated with `WINNER` and 4 other fields	High correlation
`WINNER` is highly correlated with `GENERAL VOTES` and 3 other fields	High correlation
`GENERAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`POSTAL VOTES` is highly correlated with `GENERAL VOTES` and 3 other fields	High correlation
`TOTAL VOTES` is highly correlated with `WINNER` and 4 other fields	High correlation
`OVER TOTAL ELECTORS IN CONSTITUENCY` is highly correlated with `WINNER` and 4 other fields	High correlation
`OVER TOTAL VOTES POLLED IN CONSTITUENCY` is highly correlated with `WINNER` and 4 other fields	High correlation
`GRADUATE` is highly correlated with `EDUCATION`	High correlation
`EDUCATION` is highly correlated with `GRADUATE`	High correlation
`Sl No:` is highly correlated with `STATE`	High correlation
`STATE` is highly correlated with `Sl No:` and 2 other fields	High correlation
`WINNER` is highly correlated with `GENERAL VOTES` and 3 other fields	High correlation
`CATEGORY` is highly correlated with `STATE`	High correlation
`EDUCATION` is highly correlated with `GRADUATE`	High correlation
`GRADUATE` is highly correlated with `EDUCATION`	High correlation
`GENERAL VOTES` is highly correlated with `WINNER` and 3 other fields	High correlation
`TOTAL VOTES` is highly correlated with `WINNER` and 3 other fields	High correlation
`OVER TOTAL ELECTORS IN CONSTITUENCY` is highly correlated with `WINNER` and 3 other fields	High correlation
`OVER TOTAL VOTES POLLED IN CONSTITUENCY` is highly correlated with `WINNER` and 3 other fields	High correlation
`TOTAL ELECTORS` is highly correlated with `STATE`	High correlation
`SYMBOL` has 245 (10.8%) missing values	Missing
`GENDER` has 245 (10.8%) missing values	Missing
`criminal` has 245 (10.8%) missing values	Missing
`AGE` has 245 (10.8%) missing values	Missing
`CATEGORY` has 245 (10.8%) missing values	Missing
`EDUCATION` has 245 (10.8%) missing values	Missing
`GRADUATE` has 242 (10.7%) missing values	Missing
`ASSETS` has 245 (10.8%) missing values	Missing
`LIABILITIES` has 245 (10.8%) missing values	Missing
`criminal` is highly skewed (γ1 = 24.8670552)	Skewed
`Sl No:` is uniformly distributed	Uniform
`CONSTITUENCY` is uniformly distributed	Uniform
`ASSETS` is uniformly distributed	Uniform
`Sl No:` has unique values	Unique
`OVER TOTAL ELECTORS IN CONSTITUENCY` has unique values	Unique
`OVER TOTAL VOTES POLLED IN CONSTITUENCY` has unique values	Unique
`criminal` has 1264 (55.9%) zeros	Zeros
`POSTAL VOTES` has 35 (1.5%) zeros	Zeros

Reproduction

Analysis started	2022-02-25 09:12:01.082374
Analysis finished	2022-02-25 09:12:37.334696
Duration	36.25 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Sl No:
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	2263
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1132

Minimum	1
Maximum	2263
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	1
5-th percentile	114.1
Q1	566.5
median	1132
Q3	1697.5
95-th percentile	2149.9
Maximum	2263
Range	2262
Interquartile range (IQR)	1131

Descriptive statistics

Standard deviation	653.4161512
Coefficient of variation (CV)	0.5772227484
Kurtosis	-1.2
Mean	1132
Median Absolute Deviation (MAD)	566
Skewness	0
Sum	2561716
Variance	426952.6667
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2049	1	< 0.1%
547	1	< 0.1%
535	1	< 0.1%
537	1	< 0.1%
539	1	< 0.1%
541	1	< 0.1%
543	1	< 0.1%
545	1	< 0.1%
549	1	< 0.1%
531	1	< 0.1%
Other values (2253)	2253	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
2263	1	< 0.1%
2262	1	< 0.1%
2261	1	< 0.1%
2260	1	< 0.1%
2259	1	< 0.1%
2258	1	< 0.1%
2257	1	< 0.1%
2256	1	< 0.1%
2255	1	< 0.1%
2254	1	< 0.1%

STATE
Categorical

HIGH CORRELATION

Distinct	36
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	147.7 KiB

Uttar Pradesh	274
Bihar	244
Tamil Nadu	217
West Bengal	193
Maharashtra	192
Other values (31)	1143

Length

Max length	25
Median length	10
Mean length	9.782589483
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Telangana
2nd row	Telangana
3rd row	Telangana
4th row	Telangana
5th row	Uttar Pradesh

Common Values

Value	Count	Frequency (%)
Uttar Pradesh	274	12.1%
Bihar	244	10.8%
Tamil Nadu	217	9.6%
West Bengal	193	8.5%
Maharashtra	192	8.5%
Andhra Pradesh	121	5.3%
Madhya Pradesh	103	4.6%
Gujarat	87	3.8%
Rajasthan	86	3.8%
Odisha	85	3.8%
Other values (26)	661	29.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pradesh	519	15.5%
uttar	274	8.2%
bihar	244	7.3%
tamil	217	6.5%
nadu	217	6.5%
west	193	5.8%
bengal	193	5.8%
maharashtra	192	5.7%
andhra	121	3.6%
madhya	103	3.1%
Other values (38)	1069	32.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

CONSTITUENCY
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	539
Distinct (%)	23.8%
Missing	0
Missing (%)	0.0%
Memory size	145.9 KiB

AURANGABAD	14
GAYA (SC)	12
MAHARAJGANJ	9
UJIARPUR	9
SHEOHAR	8
Other values (534)	2211

Length

Max length	25
Median length	8
Mean length	8.945647371
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ADILABAD
2nd row	ADILABAD
3rd row	ADILABAD
4th row	ADILABAD
5th row	AGRA

Common Values

Value	Count	Frequency (%)
AURANGABAD	14	0.6%
GAYA (SC)	12	0.5%
MAHARAJGANJ	9	0.4%
UJIARPUR	9	0.4%
SHEOHAR	8	0.4%
JAHANABAD	8	0.4%
SUPAUL	8	0.4%
BARAMULLA	8	0.4%
BASTAR	8	0.4%
ARUKU	8	0.4%
Other values (529)	2171	95.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sc	50	1.9%
north	35	1.3%
nagar	31	1.2%
mumbai	25	0.9%
east	25	0.9%
south	25	0.9%
west	24	0.9%
delhi	21	0.8%
	21	0.8%
central	18	0.7%
Other values (540)	2384	89.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

NAME
Categorical

HIGH CARDINALITY

Distinct	2014
Distinct (%)	89.0%
Missing	0
Missing (%)	0.0%
Memory size	161.1 KiB

NOTA	245
SURENDRA RAM	2
ATUL KUMAR SINGH	2
SANJAY KUMAR	2
Ajay Kumar	2
Other values (2009)	2010

Length

Max length	60
Median length	15
Mean length	15.82412726
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2008 ?
Unique (%)	88.7%

Sample

1st row	SOYAM BAPU RAO
2nd row	Godam Nagesh
3rd row	RATHOD RAMESH
4th row	NOTA
5th row	Satyapal Singh Baghel

Common Values

Value	Count	Frequency (%)
NOTA	245	10.8%
SURENDRA RAM	2	0.1%
ATUL KUMAR SINGH	2	0.1%
SANJAY KUMAR	2	0.1%
Ajay Kumar	2	0.1%
Rahul Gandhi	2	0.1%
Nityanand Rai	1	< 0.1%
Sunil Paswan	1	< 0.1%
Subhash Maharia	1	< 0.1%
ALPHONS KANNANTHANAM	1	< 0.1%
Other values (2004)	2004	88.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nota	245	4.5%
singh	210	3.9%
kumar	163	3.0%
dr	94	1.7%
ram	46	0.8%
yadav	45	0.8%
k	37	0.7%
chandra	36	0.7%
patel	33	0.6%
prasad	32	0.6%
Other values (2794)	4497	82.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WINNER
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	128.3 KiB

0	1724
1	539

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	1724	76.2%
1	539	23.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1724	76.2%
1	539	23.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PARTY
Categorical

HIGH CARDINALITY

Distinct	133
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Memory size	133.7 KiB

BJP	420
INC	413
NOTA	245
IND	201
BSP	163
Other values (128)	821

Length

Max length	10
Median length	3
Mean length	3.424657534
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	2.7%

Sample

1st row	BJP
2nd row	TRS
3rd row	INC
4th row	NOTA
5th row	BJP

Common Values

Value	Count	Frequency (%)
BJP	420	18.6%
INC	413	18.3%
NOTA	245	10.8%
IND	201	8.9%
BSP	163	7.2%
CPI(M)	100	4.4%
AITC	47	2.1%
VBA	47	2.1%
SP	39	1.7%
NTK	38	1.7%
Other values (123)	550	24.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bjp	420	18.6%
inc	413	18.3%
nota	245	10.8%
ind	201	8.9%
bsp	163	7.2%
cpi(m	100	4.4%
aitc	47	2.1%
vba	47	2.1%
sp	39	1.7%
ntk	38	1.7%
Other values (123)	550	24.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

SYMBOL
Categorical

HIGH CARDINALITY
MISSING

Distinct	126
Distinct (%)	6.2%
Missing	245
Missing (%)	10.8%
Memory size	136.3 KiB

Lotus	420
Hand	413
Elephant	166
Bicycle	65
Hammer, Sickle and Star	63
Other values (121)	891

Length

Max length	40
Median length	5
Mean length	8.239345887
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	1.9%

Sample

1st row	Lotus
2nd row	Car
3rd row	Hand
4th row	Lotus
5th row	Elephant

Common Values

Value	Count	Frequency (%)
Lotus	420	18.6%
Hand	413	18.3%
Elephant	166	7.3%
Bicycle	65	2.9%
Hammer, Sickle and Star	63	2.8%
Cup & Saucer	52	2.3%
Flowers and Grass	47	2.1%
Ganna Kisan	45	2.0%
Battery Torch	42	1.9%
Ears of Corn And Sickle	37	1.6%
Other values (116)	668	29.5%
(Missing)	245	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lotus	420	13.5%
hand	417	13.4%
and	177	5.7%
elephant	166	5.3%
sickle	100	3.2%
	69	2.2%
bicycle	65	2.1%
star	64	2.1%
hammer	63	2.0%
kisan	62	2.0%
Other values (164)	1518	48.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GENDER
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	245
Missing (%)	10.8%
Memory size	128.5 KiB

MALE	1760
FEMALE	258

Length

Max length	6
Median length	4
Mean length	4.255698712
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	MALE
2nd row	MALE
3rd row	MALE
4th row	MALE
5th row	MALE

Common Values

Value	Count	Frequency (%)
MALE	1760	77.8%
FEMALE	258	11.4%
(Missing)	245	10.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
male	1760	87.2%
female	258	12.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

criminal
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	28
Distinct (%)	1.4%
Missing	245
Missing (%)	10.8%
Infinite	0
Infinite (%)	0.0%
Mean	1.453914767

Minimum	0
Maximum	240
Zeros	1264
Zeros (%)	55.9%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	6
Maximum	240
Range	240
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	7.636973124
Coefficient of variation (CV)	5.252696579
Kurtosis	718.7534801
Mean	1.453914767
Median Absolute Deviation (MAD)	0
Skewness	24.8670552
Sum	2934
Variance	58.32335849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	1264	55.9%
1	313	13.8%
2	119	5.3%
3	104	4.6%
4	64	2.8%
5	42	1.9%
6	26	1.1%
7	18	0.8%
8	16	0.7%
10	11	0.5%
Other values (18)	41	1.8%
(Missing)	245	10.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1264	55.9%
1	313	13.8%
2	119	5.3%
3	104	4.6%
4	64	2.8%
5	42	1.9%
6	26	1.1%
7	18	0.8%
8	16	0.7%
9	11	0.5%

Value	Count	Frequency (%)
240	1	< 0.1%
204	1	< 0.1%
52	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
40	1	< 0.1%
31	1	< 0.1%
28	1	< 0.1%
24	1	< 0.1%
22	1	< 0.1%

AGE
Real number (ℝ_≥0)

MISSING

Distinct	60
Distinct (%)	3.0%
Missing	245
Missing (%)	10.8%
Infinite	0
Infinite (%)	0.0%
Mean	52.27353816

Minimum	25
Maximum	86
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	25
5-th percentile	32
Q1	43.25
median	52
Q3	61
95-th percentile	71
Maximum	86
Range	61
Interquartile range (IQR)	17.75

Descriptive statistics

Standard deviation	11.86937262
Coefficient of variation (CV)	0.2270627365
Kurtosis	-0.6168068571
Mean	52.27353816
Median Absolute Deviation (MAD)	9
Skewness	-0.06033047246
Sum	105488
Variance	140.8820064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55	67	3.0%
52	66	2.9%
58	63	2.8%
46	62	2.7%
48	62	2.7%
61	61	2.7%
44	60	2.7%
59	60	2.7%
43	59	2.6%
56	57	2.5%
Other values (50)	1401	61.9%
(Missing)	245	10.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
25	6	0.3%
26	10	0.4%
27	10	0.4%
28	14	0.6%
29	13	0.6%
30	15	0.7%
31	20	0.9%
32	23	1.0%
33	29	1.3%
34	17	0.8%

Value	Count	Frequency (%)
86	2	0.1%
83	1	< 0.1%
82	2	0.1%
81	2	0.1%
80	1	< 0.1%
79	4	0.2%
78	10	0.4%
77	8	0.4%
76	6	0.3%
75	7	0.3%

CATEGORY
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.1%
Missing	245
Missing (%)	10.8%
Memory size	130.8 KiB

GENERAL	1392
SC	383
ST	243

Length

Max length	7
Median length	7
Mean length	5.448959366
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ST
2nd row	ST
3rd row	ST
4th row	SC
5th row	SC

Common Values

Value	Count	Frequency (%)
GENERAL	1392	61.5%
SC	383	16.9%
ST	243	10.7%
(Missing)	245	10.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
general	1392	69.0%
sc	383	19.0%
st	243	12.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

EDUCATION
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	0.4%
Missing	245
Missing (%)	10.8%
Memory size	143.5 KiB

Post Graduate	503
Graduate	441
Graduate Professional	336
12th Pass	256
10th Pass	196
Other values (3)	286

Length

Max length	21
Median length	10
Mean length	11.85232904
Min length	8

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	12th Pass
2nd row	Post Graduate
3rd row	12th Pass
4th row	Doctorate
5th row	Post Graduate

Common Values

Value	Count	Frequency (%)
Post Graduate	503	22.2%
Graduate	441	19.5%
Graduate Professional	336	14.8%
12th Pass	256	11.3%
10th Pass	196	8.7%
Illiterate	183	8.1%
Doctorate	73	3.2%
Literate	30	1.3%
(Missing)	245	10.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
graduate	1280	38.7%
post	503	15.2%
pass	452	13.7%
professional	336	10.2%
12th	256	7.7%
10th	196	5.9%
illiterate	183	5.5%
doctorate	73	2.2%
literate	30	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GRADUATE
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	242
Missing (%)	10.7%
Memory size	128.0 KiB

1.0	1346
0.0	675

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1346	59.5%
0.0	675	29.8%
(Missing)	242	10.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1346	66.6%
0.0	675	33.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ASSETS
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	1979
Distinct (%)	98.1%
Missing	245
Missing (%)	10.8%
Memory size	170.5 KiB

Not Available	22
Nil	3
Rs 2,17,99,19,870 ~ 217 Crore+	2
Rs 15,95,000 ~ 15 Lacs+	2
Rs 3,11,000 ~ 3 Lacs+	2
Other values (1974)	1987

Length

Max length	31
Median length	26
Mean length	25.55896928
Min length	1

Characters and Unicode

Total characters	1992
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1961 ?
Unique (%)	97.2%

Sample

1st row	Rs 30,99,414 ~ 30 Lacs+
2nd row	Rs 1,84,77,888 ~ 1 Crore+
3rd row	Rs 3,64,91,000 ~ 3 Crore+
4th row	Rs 7,42,74,036 ~ 7 Crore+
5th row	Rs 13,37,84,385 ~ 13 Crore+

Common Values

Value	Count	Frequency (%)
Not Available	22	1.0%
Nil	3	0.1%
Rs 2,17,99,19,870 ~ 217 Crore+	2	0.1%
Rs 15,95,000 ~ 15 Lacs+	2	0.1%
Rs 3,11,000 ~ 3 Lacs+	2	0.1%
Rs 3,00,000 ~ 3 Lacs+	2	0.1%
Rs 47,000 ~ 47 Thou+	2	0.1%
Rs 11,95,43,561 ~ 11 Crore+	2	0.1%
Rs 6,80,000 ~ 6 Lacs+	2	0.1%
Rs 88,10,000 ~ 88 Lacs+	2	0.1%
Other values (1969)	1977	87.4%
(Missing)	245	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
rs	1992	19.9%
	1988	19.9%
crore	1378	13.8%
lacs	588	5.9%
1	325	3.2%
2	174	1.7%
4	117	1.2%
3	111	1.1%
5	95	0.9%
6	71	0.7%
Other values (2117)	3164	31.6%

Most occurring characters

Value	Count	Frequency (%)
	1992	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	1992	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	1992	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1992	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1992	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1992	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1992	100.0%

LIABILITIES
Categorical

HIGH CARDINALITY
MISSING

Distinct	1226
Distinct (%)	60.8%
Missing	245
Missing (%)	10.8%
Memory size	156.8 KiB

Rs 0 ~	634
Not Available	22
Rs 5,00,000 ~ 5 Lacs+	10
Rs 50,000 ~ 50 Thou+	8
Rs 1,00,000 ~ 1 Lacs+	8
Other values (1221)	1336

Length

Max length	31
Median length	22
Mean length	18.59167493
Min length	3

Characters and Unicode

Total characters	1995
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1164 ?
Unique (%)	57.7%

Sample

1st row	Rs 2,31,450 ~ 2 Lacs+
2nd row	Rs 8,47,000 ~ 8 Lacs+
3rd row	Rs 1,53,00,000 ~ 1 Crore+
4th row	Rs 86,06,522 ~ 86 Lacs+
5th row	Rs 2,22,51,891 ~ 2 Crore+

Common Values

Value	Count	Frequency (%)
Rs 0 ~	634	28.0%
Not Available	22	1.0%
Rs 5,00,000 ~ 5 Lacs+	10	0.4%
Rs 50,000 ~ 50 Thou+	8	0.4%
Rs 1,00,000 ~ 1 Lacs+	8	0.4%
Rs 3,00,000 ~ 3 Lacs+	7	0.3%
Rs 4,00,000 ~ 4 Lacs+	6	0.3%
Rs 60,000 ~ 60 Thou+	6	0.3%
Rs 12,00,000 ~ 12 Lacs+	6	0.3%
Rs 6,00,000 ~ 6 Lacs+	6	0.3%
Other values (1216)	1305	57.7%
(Missing)	245	10.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
rs	1995	22.8%
	1991	22.8%
lacs	899	10.3%
0	634	7.2%
crore	391	4.5%
1	165	1.9%
2	101	1.2%
thou	70	0.8%
3	69	0.8%
5	61	0.7%
Other values (1324)	2372	27.1%

Most occurring characters

Value	Count	Frequency (%)
	1995	100.0%

Most occurring categories

Value	Count	Frequency (%)
Control	1995	100.0%

Most frequent character per category

Control

Value	Count	Frequency (%)
	1995	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1995	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1995	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1995	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1995	100.0%

GENERAL VOTES
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2244
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	261599.0831

Minimum	1339
Maximum	1066824
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	1339
5-th percentile	11764.3
Q1	21034.5
median	153934
Q3	485804
95-th percentile	704952.7
Maximum	1066824
Range	1065485
Interquartile range (IQR)	464769.5

Descriptive statistics

Standard deviation	254990.5881
Coefficient of variation (CV)	0.9747380804
Kurtosis	-1.006782617
Mean	261599.0831
Median Absolute Deviation (MAD)	141693
Skewness	0.5651866623
Sum	591998725
Variance	6.50202 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11979	3	0.1%
13768	3	0.1%
563715	2	0.1%
13715	2	0.1%
15550	2	0.1%
18639	2	0.1%
11960	2	0.1%
24892	2	0.1%
429710	2	0.1%
11286	2	0.1%
Other values (2234)	2241	99.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1339	1	< 0.1%
1365	1	< 0.1%
1487	1	< 0.1%
1629	1	< 0.1%
2287	1	< 0.1%
2478	1	< 0.1%
2837	1	< 0.1%
2950	1	< 0.1%
3630	1	< 0.1%
3922	1	< 0.1%

Value	Count	Frequency (%)
1066824	1	< 0.1%
1007156	1	< 0.1%
979946	1	< 0.1%
969430	1	< 0.1%
942576	1	< 0.1%
936065	1	< 0.1%
918472	1	< 0.1%
910787	1	< 0.1%
909432	1	< 0.1%
892744	1	< 0.1%

POSTAL VOTES
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	1217
Distinct (%)	53.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	990.7105612

Minimum	0
Maximum	19367
Zeros	35
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	57
median	316
Q3	1385
95-th percentile	3915.8
Maximum	19367
Range	19367
Interquartile range (IQR)	1328

Descriptive statistics

Standard deviation	1602.839174
Coefficient of variation (CV)	1.617868262
Kurtosis	24.9886315
Mean	990.7105612
Median Absolute Deviation (MAD)	304
Skewness	3.842707297
Sum	2241978
Variance	2569093.416
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	35	1.5%
1	30	1.3%
3	28	1.2%
2	26	1.1%
5	20	0.9%
4	18	0.8%
7	17	0.8%
6	16	0.7%
12	16	0.7%
27	15	0.7%
Other values (1207)	2042	90.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	35	1.5%
1	30	1.3%
2	26	1.1%
3	28	1.2%
4	18	0.8%
5	20	0.9%
6	16	0.7%
7	17	0.8%
8	12	0.5%
9	11	0.5%

Value	Count	Frequency (%)
19367	1	< 0.1%
17852	1	< 0.1%
15169	1	< 0.1%
14196	1	< 0.1%
13880	1	< 0.1%
13085	1	< 0.1%
10974	1	< 0.1%
10772	1	< 0.1%
9858	1	< 0.1%
9621	1	< 0.1%

TOTAL VOTES
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2247
Distinct (%)	99.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	262589.7936

Minimum	1342
Maximum	1068569
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	1342
5-th percentile	11767
Q1	21162.5
median	154489
Q3	487231.5
95-th percentile	706670.4
Maximum	1068569
Range	1067227
Interquartile range (IQR)	466069

Descriptive statistics

Standard deviation	255982.2356
Coefficient of variation (CV)	0.9748369581
Kurtosis	-1.006543464
Mean	262589.7936
Median Absolute Deviation (MAD)	142172
Skewness	0.5656176046
Sum	594240703
Variance	6.552690497 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14692	2	0.1%
9912	2	0.1%
15110	2	0.1%
12675	2	0.1%
18338	2	0.1%
13323	2	0.1%
16001	2	0.1%
19972	2	0.1%
471052	2	0.1%
21241	2	0.1%
Other values (2237)	2243	99.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1342	1	< 0.1%
1369	1	< 0.1%
1487	1	< 0.1%
1646	1	< 0.1%
2287	1	< 0.1%
2486	1	< 0.1%
2839	1	< 0.1%
2950	1	< 0.1%
3630	1	< 0.1%
3990	1	< 0.1%

Value	Count	Frequency (%)
1068569	1	< 0.1%
1008936	1	< 0.1%
982942	1	< 0.1%
972739	1	< 0.1%
944503	1	< 0.1%
938160	1	< 0.1%
924065	1	< 0.1%
913222	1	< 0.1%
911594	1	< 0.1%
900149	1	< 0.1%

OVER TOTAL ELECTORS IN CONSTITUENCY
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	2263
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.8114121

Minimum	0.097941091
Maximum	51.95101197
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	0.097941091
5-th percentile	0.7187977656
Q1	1.29651798
median	10.51055288
Q3	29.46818457
95-th percentile	40.92665089
Maximum	51.95101197
Range	51.85307088
Interquartile range (IQR)	28.17166659

Descriptive statistics

Standard deviation	14.96286096
Coefficient of variation (CV)	0.9463329948
Kurtosis	-1.250675211
Mean	15.8114121
Median Absolute Deviation (MAD)	9.688992897
Skewness	0.4590096545
Sum	35781.22558
Variance	223.8872082
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.2284987	1	< 0.1%
25.86734085	1	< 0.1%
24.9245015	1	< 0.1%
21.88369199	1	< 0.1%
3.847029823	1	< 0.1%
1.101062286	1	< 0.1%
27.14756189	1	< 0.1%
31.42421081	1	< 0.1%
23.18351395	1	< 0.1%
1.781956016	1	< 0.1%
Other values (2253)	2253	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.097941091	1	< 0.1%
0.117758244	1	< 0.1%
0.357697052	1	< 0.1%
0.376933806	1	< 0.1%
0.489755178	1	< 0.1%
0.491953364	1	< 0.1%
0.499702471	1	< 0.1%
0.529958224	1	< 0.1%
0.560944315	1	< 0.1%
0.562068829	1	< 0.1%

Value	Count	Frequency (%)
51.95101197	1	< 0.1%
51.45688428	1	< 0.1%
50.8091286	1	< 0.1%
50.50395564	1	< 0.1%
50.4973985	1	< 0.1%
50.18439207	1	< 0.1%
50.14805887	1	< 0.1%
50.11433131	1	< 0.1%
49.89390765	1	< 0.1%
49.33609176	1	< 0.1%

OVER TOTAL VOTES POLLED IN CONSTITUENCY
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	2263
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.19052537

Minimum	1.000039181
Maximum	74.41185575
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	1.000039181
5-th percentile	1.091290906
Q1	1.899501697
median	16.22172112
Q3	42.59023302
95-th percentile	58.90678092
Maximum	74.41185575
Range	73.41181657
Interquartile range (IQR)	40.69073132

Descriptive statistics

Standard deviation	21.56475787
Coefficient of variation (CV)	0.9298951845
Kurtosis	-1.370190926
Mean	23.19052537
Median Absolute Deviation (MAD)	15.02974028
Skewness	0.3885296835
Sum	52480.15891
Variance	465.0387818
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.630560707	1	< 0.1%
1.286299423	1	< 0.1%
1.946335348	1	< 0.1%
1.790214005	1	< 0.1%
34.186361	1	< 0.1%
1.225214455	1	< 0.1%
1.549148752	1	< 0.1%
41.77734385	1	< 0.1%
1.070251585	1	< 0.1%
71.83534148	1	< 0.1%
Other values (2253)	2253	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.000039181	1	< 0.1%
1.000688583	1	< 0.1%
1.001320345	1	< 0.1%
1.002863902	1	< 0.1%
1.002890136	1	< 0.1%
1.003569738	1	< 0.1%
1.004585323	1	< 0.1%
1.006470715	1	< 0.1%
1.008100386	1	< 0.1%
1.010661071	1	< 0.1%

Value	Count	Frequency (%)
74.41185575	1	< 0.1%
74.29821667	1	< 0.1%
72.21643381	1	< 0.1%
71.83534148	1	< 0.1%
71.5600403	1	< 0.1%
71.38435617	1	< 0.1%
70.04319717	1	< 0.1%
69.5758213	1	< 0.1%
69.55235452	1	< 0.1%
69.32987655	1	< 0.1%

TOTAL ELECTORS
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	542
Distinct (%)	24.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1658015.947

Minimum	55189
Maximum	3150313
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.8 KiB

Quantile statistics

Minimum	55189
5-th percentile	1259362.6
Q1	1530014
median	1679030
Q3	1816857
95-th percentile	2067463
Maximum	3150313
Range	3095124
Interquartile range (IQR)	286843

Descriptive statistics

Standard deviation	314518.6732
Coefficient of variation (CV)	0.1896958071
Kurtosis	6.988403622
Mean	1658015.947
Median Absolute Deviation (MAD)	144774
Skewness	-1.273786459
Sum	3752090087
Variance	9.892199577 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1704596	12	0.5%
1742883	10	0.4%
1612300	9	0.4%
1424385	8	0.4%
1686215	8	0.4%
1588454	8	0.4%
1434384	8	0.4%
1317738	8	0.4%
1379122	8	0.4%
1690620	8	0.4%
Other values (532)	2176	96.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
55189	3	0.1%
121740	4	0.2%
179232	4	0.2%
250029	7	0.3%
318471	5	0.2%
339788	6	0.3%
434128	4	0.2%
463775	5	0.2%
556761	4	0.2%
579352	4	0.2%

Value	Count	Frequency (%)
3150313	5	0.2%
2849250	2	0.1%
2728978	3	0.1%
2497458	3	0.1%
2443112	3	0.1%
2378995	3	0.1%
2371644	3	0.1%
2370903	4	0.2%
2350580	2	0.1%
2302960	3	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Sl No:	STATE	CONSTITUENCY	NAME	WINNER	PARTY	SYMBOL	GENDER	criminal	AGE	CATEGORY	EDUCATION	GRADUATE	ASSETS	LIABILITIES	GENERAL VOTES	POSTAL VOTES	TOTAL VOTES	OVER TOTAL ELECTORS IN CONSTITUENCY	OVER TOTAL VOTES POLLED IN CONSTITUENCY	TOTAL ELECTORS
0	1	Telangana	ADILABAD	SOYAM BAPU RAO	1	BJP	Lotus	MALE	52.0	52.0	ST	12th Pass	0.0	Rs 30,99,414\n ~ 30 Lacs+	Rs 2,31,450\n ~ 2 Lacs+	376892	482	377374	25.330684	35.468248	1489790
1	2	Telangana	ADILABAD	Godam Nagesh	0	TRS	Car	MALE	0.0	54.0	ST	Post Graduate	1.0	Rs 1,84,77,888\n ~ 1 Crore+	Rs 8,47,000\n ~ 8 Lacs+	318665	149	318814	21.399929	29.964370	1489790
2	3	Telangana	ADILABAD	RATHOD RAMESH	0	INC	Hand	MALE	3.0	52.0	ST	12th Pass	0.0	Rs 3,64,91,000\n ~ 3 Crore+	Rs 1,53,00,000\n ~ 1 Crore+	314057	181	314238	21.092771	29.534285	1489790
3	4	Telangana	ADILABAD	NOTA	0	NOTA	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	13030	6	13036	0.875023	1.225214	1489790
4	5	Uttar Pradesh	AGRA	Satyapal Singh Baghel	1	BJP	Lotus	MALE	5.0	58.0	SC	Doctorate	1.0	Rs 7,42,74,036\n ~ 7 Crore+	Rs 86,06,522\n ~ 86 Lacs+	644459	2416	646875	33.383823	56.464615	1937690
5	6	Uttar Pradesh	AGRA	Manoj Kumar Soni	0	BSP	Elephant	MALE	0.0	47.0	SC	Post Graduate	1.0	Rs 13,37,84,385\n ~ 13 Crore+	Rs 2,22,51,891\n ~ 2 Crore+	434199	1130	435329	22.466390	37.999125	1937690
6	7	Uttar Pradesh	AGRA	Preeta Harit	0	INC	Hand	FEMALE	0.0	54.0	SC	Post Graduate	1.0	Rs 5,50,75,753\n ~ 5 Crore+	Rs 0\n ~	44877	272	45149	2.330042	3.940979	1937690
7	8	Maharashtra	AHMADNAGAR	Dr. SUJAY RADHAKRISHNA VIKHEPATIL	1	BJP	Lotus	MALE	0.0	37.0	GENERAL	Doctorate	1.0	Rs 16,86,64,576\n ~ 16 Crore+	Rs 26,23,964\n ~ 26 Lacs+	696961	7699	704660	37.856533	58.425159	1861396
8	9	Maharashtra	AHMADNAGAR	SANGRAM ARUNKAKA JAGTAP	0	NCP	Clock	MALE	1.0	34.0	GENERAL	Graduate	1.0	Rs 9,44,88,381\n ~ 9 Crore+	Rs 3,25,49,132\n ~ 3 Crore+	419364	3822	423186	22.734872	35.087431	1861396
9	10	Maharashtra	AHMADNAGAR	SUDHAKAR LAXMAN AVHAD	0	VBA	Cup & Saucer	MALE	0.0	62.0	GENERAL	Graduate	1.0	Rs 1,39,49,000\n ~ 1 Crore+	Rs 14,00,000\n ~ 14 Lacs+	31644	163	31807	1.708771	2.637200	1861396

Last rows

	Sl No:	STATE	CONSTITUENCY	NAME	WINNER	PARTY	SYMBOL	GENDER	criminal	AGE	CATEGORY	EDUCATION	GRADUATE	ASSETS	LIABILITIES	GENERAL VOTES	POSTAL VOTES	TOTAL VOTES	OVER TOTAL ELECTORS IN CONSTITUENCY	OVER TOTAL VOTES POLLED IN CONSTITUENCY	TOTAL ELECTORS
2253	2254	Maharashtra	YAVATMAL-WASHIM	Bhavana Pundlikrao Gawali	1	SHS	Bow and Arrow	FEMALE	3.0	46.0	GENERAL	Graduate	1.0	Rs 9,68,73,189\n ~ 9 Crore+	Rs 73,96,250\n ~ 73 Lacs+	540104	1994	542098	28.290483	46.142912	1916185
2254	2255	Maharashtra	YAVATMAL-WASHIM	Thakre Manikrao Govindrao	0	INC	Hand	MALE	0.0	64.0	GENERAL	12th Pass	0.0	Rs 3,03,03,524\n ~ 3 Crore+	Rs 12,92,750\n ~ 12 Lacs+	422497	1662	424159	22.135598	36.104046	1916185
2255	2256	Maharashtra	YAVATMAL-WASHIM	Pravin Govind Pawar	0	VBA	Cup & Saucer	MALE	0.0	37.0	GENERAL	Graduate Professional	1.0	Rs 4,68,66,958\n ~ 4 Crore+	Rs 6,58,47,040\n ~ 6 Crore+	93918	310	94228	4.917479	8.020606	1916185
2256	2257	Maharashtra	YAVATMAL-WASHIM	Parashram Bhaosing Ade	0	IND	Tractor Chalata Kisan	MALE	0.0	64.0	GENERAL	Post Graduate	1.0	Rs 18,73,01,769\n ~ 18 Crore+	Rs 4,17,919\n ~ 4 Lacs+	24447	52	24499	1.278530	2.085334	1916185
2257	2258	Maharashtra	YAVATMAL-WASHIM	Vaishali Sudhakar Yede	0	PHJSP	Whistle	FEMALE	0.0	28.0	GENERAL	10th Pass	0.0	Rs 11,68,500\n ~ 11 Lacs+	Rs 9,000\n ~ 9 Thou+	20563	57	20620	1.076097	1.755157	1916185
2258	2259	Maharashtra	YAVATMAL-WASHIM	Anil Jayram Rathod	0	IND	SHIP	MALE	0.0	43.0	GENERAL	Post Graduate	1.0	Rs 48,90,000\n ~ 48 Lacs+	Rs 10,20,000\n ~ 10 Lacs+	14661	25	14686	0.766419	1.250060	1916185
2259	2260	Telangana	ZAHIRABAD	B.B.PATIL	1	TRS	Car	MALE	18.0	63.0	GENERAL	Graduate	1.0	Rs 1,28,78,51,556\n ~ 128 Crore+	Rs 1,15,35,000\n ~ 1 Crore+	434066	178	434244	28.975369	41.574183	1498666
2260	2261	Telangana	ZAHIRABAD	MADAN MOHAN RAO	0	INC	Hand	MALE	0.0	49.0	GENERAL	Post Graduate	1.0	Rs 90,36,63,001\n ~ 90 Crore+	Rs 0\n ~	427900	115	428015	28.559732	40.977823	1498666
2261	2262	Telangana	ZAHIRABAD	BANALA LAXMA REDDY	0	BJP	Lotus	MALE	3.0	47.0	GENERAL	12th Pass	0.0	Rs 5,85,77,327\n ~ 5 Crore+	Rs 52,50,000\n ~ 52 Lacs+	138731	216	138947	9.271379	13.302678	1498666
2262	2263	Telangana	ZAHIRABAD	NOTA	0	NOTA	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	11138	2	11140	0.743328	1.066535	1498666

Overview

Variables

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Most frequent character per block

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Most frequent character per block

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Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart